Case Study / Analysis and management in AI engines

Case study: Strengthening Copisa's Digital Positioning through AI Citation Analysis

Copisa, a company in the construction and infrastructure sector, identified the need to analyze the positioning of its citations in sectorial and transactional prompts to detect opportunities for share of voice. The analysis aimed to identify development opportunities in owned assets, such as the company’s website and corporate blog, as well as in third-party sources relevant to the sector.

The project focused on providing the communications department with a structured view of how the company appears in AI-generated responses and what margin exists to strengthen its presence in GEO environments.

Solution

Copisa trusted 202 Digital Reputation to evaluate its AI positioning and identify opportunities to strengthen its market presence. The solution was organized into four key areas.

1

Selection of prompts aligned with business lines and departments

Sectorial and transactional prompts directly linked to the different business lines of Copisa and the corresponding departments were selected. This phase allowed the analysis to focus on queries relevant to the company’s activities and aligned with its communication priorities.

2

Analysis of responses and citation evaluation

The responses generated in the selected prompts were analyzed, evaluating the citations chosen by the artificial intelligence and the distribution of source share. This analysis allowed the identification of which domains have the greatest presence in the responses and what Copisa's relative positioning is compared to its competitors.

3

Analysis of the corporate website and blog for GEO optimization

The corporate website and blog were reviewed with the goal of identifying improvement opportunities aimed at positioning in GEO environments. The analysis focused on assessing their citation potential in generative responses and identifying development areas aligned with the prompts worked on.

4

Selection of media for future communications

Based on the study of the sector's source share, the most suitable media outlets for future communication actions were identified, with the aim of strengthening the brand's positioning in the analyzed prompts.

Results

  • Identification of strategic gaps in the analyzed prompts to strengthen Copisa's positioning and move towards leadership in GEO environments.
  • Analysis of the competition's positioning in generative responses, allowing an understanding of their level of presence and the sources that consolidate their visibility.
  • Detection of improvements and activation of owned sources, such as the corporate website and blog, aimed at optimizing them for GEO and positioning them in the selected prompts.
  • Selection of strategic media outlets for content campaign development with the aim of enhancing the brand’s presence in priority prompts.

Conclusion

The study allowed Copisa's communication department to integrate AI citation analysis into its digital strategy. The identification of opportunities in sectorial prompts, along with the optimization of owned assets and the selection of appropriate media, laid the groundwork for strengthening voice share in generative engines.

This case demonstrates how the structured analysis of citations and sources can become a strategic tool to consolidate corporate presence in an increasingly AI-driven digital environment.

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